Advances in Diagnostic Modalities to Improve the Accuracy and Timeliness of Disease Diagnosis in the Digital Era

Authors

  • Susanthy Djajalaksana

DOI:

https://doi.org/10.11594/jk-risk.05.2.1

Keywords:

Precision medicine, Diagnostic modalities, Digital health transformation, Artificial intelligence, Disease diagnosis

Downloads

Download data is not yet available.

References

Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nat Med. 2019;25(1):44-56.

Kermany DS, Goldbaum M, Cai W, Valentim CCS, Liang H, Baxter SL, et al. Identifying medical diagnoses and treatable diseases by image-based deep learning. Cell. 2018;172(5):1122-1131.

Rubin GD, Lungren MP, Halabi SS, et al. Artificial intelligence in imaging: opportunities, challenges, and future directions. Radiology. 2019;291(3):565-575.

Pantanowitz L, Sharma A, Carter AB, et al. Digital pathologists: a College of American Pathologists perspective. Arch Pathol Lab Med. 2020;144(1):10-18.

Hood L, Friend SH. Predictive, personalized, preventive, participatory (P4) cancer medicine. Nat Rev Clin Oncol. 2011;8(3):184-187.

Ristevski B, Chen M. Big data analytics in medicine and healthcare. J Integr Bioinform. 2018;15(3):1-9.

Global Initiative for Asthma. Global strategy for asthma management and prevention; 2025.

World Health Organization. WHO consolidated guidelines on tuberculosis; 2023.

American Academy of Sleep Medicine. Clinical practice guideline; 2017.

Downloads

Published

2026-02-25

How to Cite

Djajalaksana, S. (2026). Advances in Diagnostic Modalities to Improve the Accuracy and Timeliness of Disease Diagnosis in the Digital Era. Jurnal Klinik Dan Riset Kesehatan, 5(2), 99-100. https://doi.org/10.11594/jk-risk.05.2.1

Similar Articles

1-10 of 97

You may also start an advanced similarity search for this article.